Refine
Year of publication
Document type
- Article (peer-reviewed) (576)
- Bachelor Thesis (55)
- Conference Proceeding (50)
- Contribution to a Periodical (25)
- Report (21)
- Master's Thesis (20)
- Academic Papers (13)
- Working Paper (7)
- Doctoral Thesis (3)
- Part of a Book (1)
Language
- English (771) (remove)
Has full text
- Yes (771) (remove)
Keywords
- Electrical impedance tomography (49)
- Mechanical ventilation (14)
- Machine learning (13)
- Acute respiratory distress syndrome (12)
- Exercise (11)
- Convolutional neural network (9)
- Bone mineral density (8)
- Germany (8)
- ARDS (7)
- Biomechanics (7)
Course of studies
- IBW - Internationale Betriebswirtschaft (35)
- IMM - International Management (30)
- IBM - International Business Management (22)
- MZT - Mikromedizintechnik (11)
- BMP - Business Management and Psychology (10)
- APE - Advanced Precision Engineering (2)
- IRCD - International Relations and Cultural Diplomacy (2)
- MBA - International Business Management (2)
- AIN - Allgemeine Informatik (1)
- DIM - Design Interaktiver Medien (1)
The interest in topics such as the environment, health and sustainability has increased dramatically in recent years, due to concerns about global warming and demographic change, giving way to the concept of “green branding”.
This bachelor thesis proposes the application of a green branding strategy in order to position Irish agri-food products in the German grocery retail market, and explores its potential effectiveness and current relevance. Firstly, this work intends to offer an overall understanding of the characteristics and implications of a green branding strategy. Secondly, it analyses the connection with Ireland as a country of origin for agri-food products, by putting forward the different arguments for its suitability for the respective products. Finally, the key learnings regarding the successful implementation of a green branding strategy are discussed, based on a real-life best-practice case.
This research employed previous academic and trade literature to develop a theoretical foundation for understanding the concept of green branding in a marketing context. Various forms of industry, consumer and retail insights were used to identify the extent of demand for green brands in Germany and to analyse strength and weaknesses of the Irish agri-food industry in this regard.
An expert interview with the Marketing Manager for Kerrygold in Germany was conducted to uncover points arising from the best-practice application of a green branding strategy.
The findings indicate that there is significant theoretical and practical evidence to suggest that the application of a green branding would be an effective positioning strategy for Irish agri-food in the German consumer market.
3D Computer Vision for the Industrial Metaverse - On the potentials of Neural Radiance Fields
(2023)
The industrial metaverse refers to the use of virtual reality (VR) and augmented reality (AR) technologies in the context of industry and manufacturing. It is envisioned as a shared, immersive digital space where people can interact with and manipulate virtual representations of physical objects and processes. The industrial metaverse has the potential to transform the way products are designed, manufactured, and maintained,
enabling new levels of collaboration, automation, and innovation.
It further includes virtual representations of humans, also known as avatars. These avatars can be used to enable remote collaboration and communication between people in the virtual space. In this way, the industrial metaverse can facilitate virtual meetings, trainings, and other interactive experiences that involve human participants.
Neural Radiance Fields (NeRFs) are a powerful tool for synthesizing photorealistic images of 3D objects, including virtual representations of humans known as avatars. In this talk, we will discuss the potential applications of NeRFs in generating high-fidelity objects and avatars for use in the industrial metaverse.
Sales promotion are commonly used tool by marketers to manipulate consumer toward a certain offer or product. Attractiveness of a promotion can increase the demand of the promoted product. Monetary and non-monetary are considers the two main types of sales promotions. Monetary sales promotion, also known as price promotion, will provide immediate price discount upon purchase, for example 50% discount. Non-monetary sales promotions or premium promotion, on the other hand, usually grant consumer an extra free product or additional service for free. Previous studies also demonstrated that different sales promotion affect consumer behavior differently. Consumers’ value perception can be influenced by several factors. For instance, marketers use specific “phrase” such as “value pack” to influence consumer price perception. Rationally, consumers’ value perception should remain unchanged regardless of the phrases use to describe the promotion with same discount value. In this study, we examine the impact two sales promotion those are “50% discount” and “buy one get one free” on value perception of Thais consumers. These two deals have equal economic value but perceived differently by consumer. We aim to answer the question “does two different deals with the same value impact value perception of the same product differently?” In order to obtain logical answer, two set of questionnaires were send out to observe the maximum price which consumer willing to pay for “instant noodles” and “soy protein powder”. Unfortunately, the result from our survey were not significant enough for us to derive a concrete conclusion. We also discuss about potential cause of the unexpected result and interpret our result for better understanding. Even without a significant finding, this paper address that different sales promotions impact consumer in various ways supported by other literatures and also self-assumption.
The impact of store atmosphere elements on the purchase behaviour and emotions of customers has an important significance in modern marketing. How to design and conceptualize a store atmosphere in such a way that it provides an unforgettable experience for the customer and entices him or her to arouse an interest in the store environment is one of the most fundamental concerns merchants and marketers must ask and think through these days – likewise, the role of culture in connection with store atmosphere is necessary to understand. The goal of this paper is to answer the question on how behavioural and emotional responses to store atmospheric elements such as visual, aural, olfactory, tactile, social, exterior design, interior design and layout & design differ across individualist and collectivist cultures. A cross-cultural analysis between Germans and non-Germans is made in respect to the posed question. A quantitative online survey was conducted, in which a total of 99 valid participants took part, of which 57 were Germans and 42 were non-Germans. This research extended the study of Barros et al. (2019) and added two more separate store atmospheric elements which are the general exterior design and the general interior design. The data was then analyzed, and the findings were ultimately presented. The findings showed that overall store atmosphere elements have similar emotional and behavioural effects on individualist and collectivist cultures with the exception of the general exterior design element, where a significant difference was found. This paper gives a comprehensive overview on the importance of store atmospheric elements in retail and the comparison between Germany which acts as a country that scored relatively high on the Individualism dimension of Hofstede’s national culture model and the countries Turkey, Russia, Portugal, Albania, Bosnia, Romania, Kazakhstan, Vietnam, Sri Lanka and Iraq which serve as a union of cultures that performed high on the Collectivism dimension. Additional research on the topic needs to be done on how culture affects shopper’s emotional and behavioural responses.
Digitalization is one of the global megatrends of the 21st century. With the increase of mobile technology, constant connectivity, and data analytics, organizations are forced to become more digital to keep up with the increasingly digital world.
This research addresses the changing role of leadership due to digitalization. It examines factors which need to be considered when driving digital transformation in organizations as well as leadership competencies necessary in the digital age. Finally, the research addresses the resistance to digital transformation in organizations.
To investigate how leadership is affected by digitalization, qualitative research is carried out. The research is based on published secondary data.
The findings of this research suggest the growing importance of leadership in the digital age. Leadership needs to approach digitalization actively, thus driving digital transformation in organizations to stay competitive in the increasingly digital world. Further, the research suggests six leadership competencies which are essential in times of digital transformation and identifies two leadership roles which have arisen in recent years due to digitalization. Finally, the research proposes ways to overcome resistance to digital transformation.
A Descriptive Study on Customer Attitudes towards Green Branding in the Fashion Industry in Germany
(2021)
This paper attempts to provide an up-to-date representation and analysis of customers' attitudes towards green branding in the fashion industry and their willingness to pay (WTP) for sustainable and ethical clothing in Germany. Related literature strands are reviewed to understand how the fashion industry works, what green branding means, and how customer attitudes are shaped. After creating an attitude measurement model, an online questionnaire was designed and sent to Furtwangen University students, with 153 valid responses returned. The descriptive analysis sheds light on the three attitudinal components related to sustainability and ethics in the fashion industry. It is noted that customers do not hold a definite attitude. However, a tendency towards the positive end is ascertained. Significant gaps still exist in terms of knowledge and awareness of some commitment by fashion brands. Another huge factor influencing attitudes appears to be a lack of trust. The behavioral component showed that customers are trying to contribute through proper disposal and are willing to buy sustainable and ethical clothing more often. However, there is still some room for improvement in terms of customer education. Nevertheless, it is found that they are willing to accept an additional contribution for sustainable and ethical clothing. In general, it can be concluded that there is a foundation to improve the fashion industry towards more sustainability. However, all stakeholders, i.e., customers and fashion brands, as well as the government, need to work together to change the industry in the long run.
Despite the unabated growth of algorithmic decision-making in organizations, there is a growing consensus that numerous situations will continue to require humans in the loop. However, the blending of a formal machine and bounded human rationality also amplifies the risk of what is known as local rationality. Therefore, it is crucial, especially in a data-abundant environment that characterizes algorithmic decision-making, to devise means to assess performance holistically. In this paper, we propose a simulation-based model to address the current lack of research on quantifying algorithmic interventions in a broader organizational context. Our approach allows the combining of causal modeling and data science algorithms to represent decision settings involving a mix of machine and human rationality to measure performance. As a testbed, we consider the case of a fictitious company trying to improve its forecasting process with the help of a machine learning approach. The example demonstrates that a myopic assessment obscures problems that only a broader framing reveals. It highlights the value of a systems view since the effects of the interplay between human and algorithmic decisions can be largely unintuitive. Such a simulation-based approach can be an effective tool in efforts to delineate roles for humans and algorithms in hybrid contexts.
The YOLO series of object detection algorithms, including YOLOv4 and YOLOv5, have shown superior performance in various medical diagnostic tasks, surpassing human ability in some cases. However, their black-box nature has limited their adoption in medical applications that require trust and explainability of model decisions. To address this issue, visual explanations for AI models, known as visual XAI, have been proposed in the form of heatmaps that highlight regions in the input that contributed most to a particular decision. Gradient-based approaches, such as Grad-CAM, and non-gradient-based approaches, such as Eigen-CAM, are applicable to YOLO models and do not require new layer implementation. This paper evaluates the performance of Grad-CAM and Eigen-CAM on the VinDrCXR Chest X-ray Abnormalities Detection dataset and discusses the limitations of these methods for explaining model decisions to data scientists.
Quality assurance (QA) plays a crucial role in manufacturing to ensure that products meet their specifications. However, manual QA processes are costly and time-consuming, thereby making artificial intelligence (AI) an attractive solution for automation and expert support. In particular, convolutional neural networks (CNNs) have gained a lot of interest in visual inspection. Next to AI methods, the explainable artificial intelligence (XAI) systems, which achieve transparency and interpretability by providing insights into the decision-making process of the AI, are interesting methods for achieveing quality inspections in manufacturing processes. In this study, we conducted a systematic literature review (SLR) to explore AI and XAI approaches for visual QA (VQA) in manufacturing. Our objective was to assess the current state of the art and identify research gaps in this context. Our findings revealed that AI-based systems predominantly focused on visual quality control (VQC) for defect detection. Research addressing VQA practices, like process optimization, predictive maintenance, or root cause analysis, are more rare. Least often cited are papers that utilize XAI methods. In conclusion, this survey emphasizes the importance and potential of AI and XAI in VQA across various industries. By integrating XAI, organizations can enhance model transparency, interpretability, and trust in AI systems. Overall, leveraging AI and XAI improves VQA practices and decision-making in industries.
The real-world possibilities for blockchain applications are endless, yet few real-world use cases exist in early 2018 beyond cryptocurrency. Among the many newly initiated and emerging proposals for applications of this unique technology, the area of vehicle emissions provides an opportunity to bring the advantages of cryptography and decentralized databases to the collection and storage of scientific research data. The reporting of vehicle emissions has been a publicly acknowledged area of deceit and scandal, while the cornerstones of blockchain are transparency and consensus. There is, perhaps, a way for this newly expanding technology to provide a disruption to the automotive industry by efficiently and reliably reporting vehicle emissions.
This paper seeks to analyze: the capabilities of an emerging technology when applied to an existing older technology and its utilized environment as well as propose a system for efficiently and reliably collecting and reporting internal combustion engine based vehicle emissions data using blockchain; also, finally, theorize the impact of such a system on the automotive industry.
By combining multiple technologies which already exist in practice, as well as some which are expected to be massively implemented in the near future, it is theoretically possible to establish a blockchain based system for not only recording emissions from every participating vehicle, but also electronically executing a check against local emissions restrictions via smart contracts defined by geo-locational range and GPS referencing. The data can be processed and stored in a way that protects the identity and location history of the driver by assigning responsibility of compliance to the identity of the vehicle. The network can be protected from malicious actors by way of an emissions application specific protocol which involves unique GPS data.
While the short run effects of such a system may be met with pushback from the automotive industry because of increased regulation and impact on sales of internal combustion engine vehicle inventory, the long run effects parallel and may even supplement the future effects of the global trends which make the system possible.
When scaling, startups face managerial challenges and a downfall in innovation. A growing team and the resulting increased communication and organizational complexity bring issues previously not existing. Accountability Systems can assist startups overcome the mentioned issues and maintain their essence of innovation, vital for their success.
This paper discusses the relevance and benefits of implementing formal managerial systems in a growing startup. By mapping out the interdependence of culture, innovation and growth, it is demonstrated how Accountability Systems can support the preservation of an innovative culture when scaling a startup.
In a time when innovation is often disregarded due to a focus on process efficiency, Accountability Systems can provide a valuable tool for managing transition. This thesis serves as a general evaluation of Accountability Systems and their benefits. It is important to note that this paper is not intended to serve as a directly adaptable guide for startups.
Acid Sphingomyelinase Promotes Endothelial Stress Response in Systemic Inflammation and Sepsis
(2016)
Adding evidence of the effects of treatments into relevant Wikipedia pages: a randomised trial
(2020)
Additives and polymer composition influence the interaction of microplastics with xenobiotics
(2021)